利用红细胞的超分辨率超声成像:II:速度图像。

Mostafa Amin Naji;Iman Taghavi;Mikkel Schou;Sebastian Kazmarek PræSius;Lauge Naur Hansen;Nathalie Sarup Panduro;Sofie Bech Andersen;Stinne Byrholdt Søgaard;Carsten Gundlach;Hans Martin Kjer;Borislav Gueorguiev Tomov;Erik Vilain Thomsen;Michael Bachmann Nielsen;Niels Bent Larsen;Anders Bjorholm Dahl;Charlotte Mehlin Sørensen;Jørgen Arendt Jensen
{"title":"利用红细胞的超分辨率超声成像:II:速度图像。","authors":"Mostafa Amin Naji;Iman Taghavi;Mikkel Schou;Sebastian Kazmarek PræSius;Lauge Naur Hansen;Nathalie Sarup Panduro;Sofie Bech Andersen;Stinne Byrholdt Søgaard;Carsten Gundlach;Hans Martin Kjer;Borislav Gueorguiev Tomov;Erik Vilain Thomsen;Michael Bachmann Nielsen;Niels Bent Larsen;Anders Bjorholm Dahl;Charlotte Mehlin Sørensen;Jørgen Arendt Jensen","doi":"10.1109/TUFFC.2024.3411795","DOIUrl":null,"url":null,"abstract":"Super-resolution ultrasound imaging using the erythrocytes (SURE) has recently been introduced. The method uses erythrocytes as targets instead of fragile microbubbles (MBs). The abundance of erythrocyte scatterers makes it possible to acquire SURE data in just a few seconds compared with several minutes in ultrasound localization microscopy (ULM) using MBs. A high number of scatterers can reduce the acquisition time; however, the tracking of uncorrelated and high-density scatterers is quite challenging. This article hypothesizes that it is possible to detect and track erythrocytes as targets to obtain vascular flow images. A SURE tracking pipeline is used with modules for beamforming, recursive synthetic aperture (SA) imaging, motion estimation, echo canceling, peak detection, and recursive nearest-neighbor (NN) tracker. The SURE tracking pipeline is capable of distinguishing the flow direction and separating tubes of a simulated Field II phantom with 125–25-\n<inline-formula> <tex-math>$\\mu \\text { m}$ </tex-math></inline-formula>\n wall-to-wall tube distances, as well as a 3-D printed hydrogel micr-flow phantom with 100–60-\n<inline-formula> <tex-math>$\\mu \\text { m}$ </tex-math></inline-formula>\n wall-to-wall channel distances. The comparison of an in vivo SURE scan of a Sprague-Dawley rat kidney with ULM and micro-computed tomography (CT) scans with voxel sizes of 26.5 and \n<inline-formula> <tex-math>$5~\\mu \\text { m}$ </tex-math></inline-formula>\n demonstrated consistent findings. A microvascular structure composed of 16 vessels exhibited similarities across all imaging modalities. The flow direction and velocity profiles in the SURE scan were found to be concordant with those from ULM.","PeriodicalId":13322,"journal":{"name":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","volume":"71 8","pages":"945-959"},"PeriodicalIF":3.0000,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10552297","citationCount":"0","resultStr":"{\"title\":\"Super-Resolution Ultrasound Imaging Using the Erythrocytes—Part II: Velocity Images\",\"authors\":\"Mostafa Amin Naji;Iman Taghavi;Mikkel Schou;Sebastian Kazmarek PræSius;Lauge Naur Hansen;Nathalie Sarup Panduro;Sofie Bech Andersen;Stinne Byrholdt Søgaard;Carsten Gundlach;Hans Martin Kjer;Borislav Gueorguiev Tomov;Erik Vilain Thomsen;Michael Bachmann Nielsen;Niels Bent Larsen;Anders Bjorholm Dahl;Charlotte Mehlin Sørensen;Jørgen Arendt Jensen\",\"doi\":\"10.1109/TUFFC.2024.3411795\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Super-resolution ultrasound imaging using the erythrocytes (SURE) has recently been introduced. The method uses erythrocytes as targets instead of fragile microbubbles (MBs). The abundance of erythrocyte scatterers makes it possible to acquire SURE data in just a few seconds compared with several minutes in ultrasound localization microscopy (ULM) using MBs. A high number of scatterers can reduce the acquisition time; however, the tracking of uncorrelated and high-density scatterers is quite challenging. This article hypothesizes that it is possible to detect and track erythrocytes as targets to obtain vascular flow images. A SURE tracking pipeline is used with modules for beamforming, recursive synthetic aperture (SA) imaging, motion estimation, echo canceling, peak detection, and recursive nearest-neighbor (NN) tracker. The SURE tracking pipeline is capable of distinguishing the flow direction and separating tubes of a simulated Field II phantom with 125–25-\\n<inline-formula> <tex-math>$\\\\mu \\\\text { m}$ </tex-math></inline-formula>\\n wall-to-wall tube distances, as well as a 3-D printed hydrogel micr-flow phantom with 100–60-\\n<inline-formula> <tex-math>$\\\\mu \\\\text { m}$ </tex-math></inline-formula>\\n wall-to-wall channel distances. The comparison of an in vivo SURE scan of a Sprague-Dawley rat kidney with ULM and micro-computed tomography (CT) scans with voxel sizes of 26.5 and \\n<inline-formula> <tex-math>$5~\\\\mu \\\\text { m}$ </tex-math></inline-formula>\\n demonstrated consistent findings. A microvascular structure composed of 16 vessels exhibited similarities across all imaging modalities. The flow direction and velocity profiles in the SURE scan were found to be concordant with those from ULM.\",\"PeriodicalId\":13322,\"journal\":{\"name\":\"IEEE transactions on ultrasonics, ferroelectrics, and frequency control\",\"volume\":\"71 8\",\"pages\":\"945-959\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10552297\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE transactions on ultrasonics, ferroelectrics, and frequency control\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10552297/\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ACOUSTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10552297/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0

摘要

利用红细胞的超分辨率超声成像(SURE)最近问世。该方法使用红细胞作为目标,而不是脆弱的微气泡(MBs)。与使用微气泡的超声定位显微镜(ULM)的数分钟相比,红细胞散射体的大量存在使 SURE 数据的获取只需几秒钟。大量的散射体可以缩短采集时间,但是,对不相关的高密度散射体进行跟踪却相当具有挑战性。本文假设有可能将红细胞作为目标进行检测和跟踪,从而获得血管流动图像。SURE 追踪流水线包括波束成形、递归合成孔径成像、运动估计、回声消除、峰值检测和递归近邻追踪器等模块。SURE 追踪管道能够区分流向,并分离管壁间距为 125 到 25 μm 的模拟 Field II 模型以及管壁间距为 100 到 60 μm 的 3D 打印水凝胶微流模型的管道。将 Sprague-Dawley 大鼠肾脏的体内 SURE 扫描与 ULM 扫描以及体素尺寸分别为 26.5μm 和 5μm 的显微 CT 扫描进行比较,结果显示两者一致。由 16 根血管组成的微血管结构在所有成像模式下都表现出相似性。SURE 扫描的血流方向和速度曲线与 ULM 扫描的结果一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Super-Resolution Ultrasound Imaging Using the Erythrocytes—Part II: Velocity Images
Super-resolution ultrasound imaging using the erythrocytes (SURE) has recently been introduced. The method uses erythrocytes as targets instead of fragile microbubbles (MBs). The abundance of erythrocyte scatterers makes it possible to acquire SURE data in just a few seconds compared with several minutes in ultrasound localization microscopy (ULM) using MBs. A high number of scatterers can reduce the acquisition time; however, the tracking of uncorrelated and high-density scatterers is quite challenging. This article hypothesizes that it is possible to detect and track erythrocytes as targets to obtain vascular flow images. A SURE tracking pipeline is used with modules for beamforming, recursive synthetic aperture (SA) imaging, motion estimation, echo canceling, peak detection, and recursive nearest-neighbor (NN) tracker. The SURE tracking pipeline is capable of distinguishing the flow direction and separating tubes of a simulated Field II phantom with 125–25- $\mu \text { m}$ wall-to-wall tube distances, as well as a 3-D printed hydrogel micr-flow phantom with 100–60- $\mu \text { m}$ wall-to-wall channel distances. The comparison of an in vivo SURE scan of a Sprague-Dawley rat kidney with ULM and micro-computed tomography (CT) scans with voxel sizes of 26.5 and $5~\mu \text { m}$ demonstrated consistent findings. A microvascular structure composed of 16 vessels exhibited similarities across all imaging modalities. The flow direction and velocity profiles in the SURE scan were found to be concordant with those from ULM.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
7.70
自引率
16.70%
发文量
583
审稿时长
4.5 months
期刊介绍: IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control includes the theory, technology, materials, and applications relating to: (1) the generation, transmission, and detection of ultrasonic waves and related phenomena; (2) medical ultrasound, including hyperthermia, bioeffects, tissue characterization and imaging; (3) ferroelectric, piezoelectric, and piezomagnetic materials, including crystals, polycrystalline solids, films, polymers, and composites; (4) frequency control, timing and time distribution, including crystal oscillators and other means of classical frequency control, and atomic, molecular and laser frequency control standards. Areas of interest range from fundamental studies to the design and/or applications of devices and systems.
期刊最新文献
TinyProbe: A Wearable 32-channel Multi-Modal Wireless Ultrasound Probe. LSMD: Long-Short Memory-Based Detection Network for Carotid Artery Detection in B-mode Ultrasound Video Streams. A Phantom-Free Approach for Estimating the Backscatter Coefficient of Aggregated Red Blood Cells applied to COVID-19 Patients. High-frequency wearable ultrasound array belt for small animal echocardiography. Deep Power-aware Tunable Weighting for Ultrasound Microvascular Imaging.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1